summary.MclustDR: Summarizing dimension reduction method for model-based...

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Summarizing dimension reduction method for model-based clustering and classification

Description

Summary method for class "MclustDR".

Usage

## S3 method for class 'MclustDR'
summary(object, numdir, std = FALSE, ...)
## S3 method for class 'summary.MclustDR'
print(x, digits = max(5, getOption("digits") - 3), ...)

Arguments

object	An object of class 'MclustDR' resulting from a call to MclustDR.
x	An object of class 'summary.MclustDR', usually, a result of a call to summary.MclustDR.
numdir	An integer providing the number of basis directions to be printed.
std	if TRUE the coefficients basis are scaled such that all predictors have unit standard deviation.
digits	The number of significant digits to use when printing.
...	Further arguments passed to or from other methods.

Author(s)

Luca Scrucca

See Also

MclustDR, plot.MclustDR

mclust documentation built on May 29, 2024, 8:06 a.m.